Indranil Ghosh

1.2k total citations
63 papers, 842 citations indexed

About

Indranil Ghosh is a scholar working on Economics and Econometrics, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Indranil Ghosh has authored 63 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Economics and Econometrics, 36 papers in Management Science and Operations Research and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Indranil Ghosh's work include Stock Market Forecasting Methods (31 papers), Market Dynamics and Volatility (30 papers) and Energy Load and Power Forecasting (13 papers). Indranil Ghosh is often cited by papers focused on Stock Market Forecasting Methods (31 papers), Market Dynamics and Volatility (30 papers) and Energy Load and Power Forecasting (13 papers). Indranil Ghosh collaborates with scholars based in India, Spain and United Kingdom. Indranil Ghosh's co-authors include Rabin K. Jana, Manas Kumar Sanyal, Tamal Datta Chaudhuri, Noelia García, Esteban Alfaro, Matías Gámez, Debojyoti Das, Pranab K. Dan, Sanjib Biswas and Anupam Dutta and has published in prestigious journals such as Journal of Clinical Oncology, Expert Systems with Applications and Journal of the Operational Research Society.

In The Last Decade

Indranil Ghosh

60 papers receiving 802 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Indranil Ghosh India 18 431 316 120 118 113 63 842
Rongda Chen China 17 515 1.2× 189 0.6× 92 0.8× 104 0.9× 279 2.5× 68 1.0k
Noura Metawa Egypt 15 250 0.6× 220 0.7× 102 0.8× 49 0.4× 130 1.2× 42 951
Yuanjun Zhao China 16 209 0.5× 138 0.4× 98 0.8× 63 0.5× 59 0.5× 33 844
Germán G. Creamer United States 12 247 0.6× 217 0.7× 64 0.5× 145 1.2× 112 1.0× 51 655
Cuicui Luo China 15 150 0.3× 141 0.4× 45 0.4× 56 0.5× 67 0.6× 44 675
Shixuan Wang United Kingdom 15 560 1.3× 85 0.3× 165 1.4× 97 0.8× 168 1.5× 60 906
Dean Fantazzini Russia 15 369 0.9× 130 0.4× 95 0.8× 58 0.5× 293 2.6× 61 788
Frank McGroarty United Kingdom 16 764 1.8× 296 0.9× 192 1.6× 109 0.9× 638 5.6× 69 1.2k
Helu Xiao China 15 311 0.7× 458 1.4× 25 0.2× 73 0.6× 173 1.5× 44 691
Christina Beneki Greece 9 215 0.5× 79 0.3× 155 1.3× 47 0.4× 75 0.7× 27 604

Countries citing papers authored by Indranil Ghosh

Since Specialization
Citations

This map shows the geographic impact of Indranil Ghosh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Indranil Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indranil Ghosh more than expected).

Fields of papers citing papers by Indranil Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Indranil Ghosh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Indranil Ghosh. The network helps show where Indranil Ghosh may publish in the future.

Co-authorship network of co-authors of Indranil Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Indranil Ghosh. A scholar is included among the top collaborators of Indranil Ghosh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Indranil Ghosh. Indranil Ghosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ghosh, Indranil, et al.. (2025). Prediction and decoding of metaverse coin dynamics: a granular quest using MODWT-Facebook’s prophet-TBATS and XAI methodology. Annals of Operations Research. 346(3). 2423–2459. 1 indexed citations
2.
Ghosh, Indranil, Rabin K. Jana, David Roubaud, et al.. (2024). Modelling financial stress during the COVID-19 pandemic: Prediction and deeper insights. International Review of Economics & Finance. 91. 680–698. 2 indexed citations
3.
Jana, Rabin K., et al.. (2024). AI readiness enablers in developed and developing economies: Findings from the XGBoost regression and explainable AI framework. Technological Forecasting and Social Change. 205. 123482–123482. 10 indexed citations
4.
Jana, Rabin K., et al.. (2024). Enablers of new business density: a comparison between developed and developing countries using deep learning and explainable AI. Benchmarking An International Journal. 32(8). 3012–3043.
5.
Ghosh, Indranil & Rabin K. Jana. (2023). A granular machine learning framework for forecasting high-frequency financial market variables during the recent black swan event. Technological Forecasting and Social Change. 194. 122719–122719. 11 indexed citations
6.
Ghosh, Indranil, Esteban Alfaro, Matías Gámez, & Noelia García. (2023). COVID-19 Media Chatter and Macroeconomic Reflectors on Black Swan: A Spanish and Indian Stock Markets Comparison. Risks. 11(5). 94–94. 4 indexed citations
7.
Ghosh, Indranil, Esteban Alfaro, Matías Gámez, & Noelia García. (2023). Modeling hydro, nuclear, and renewable electricity generation in India: An atom search optimization-based EEMD-DBSCAN framework and explainable AI. Heliyon. 10(1). e23434–e23434. 4 indexed citations
8.
Ghosh, Indranil & Rabin K. Jana. (2023). Clean energy stock price forecasting and response to macroeconomic variables: A novel framework using Facebook's Prophet, NeuralProphet and explainable AI. Technological Forecasting and Social Change. 200. 123148–123148. 22 indexed citations
9.
Jana, Rabin K., Indranil Ghosh, & Martin W. Wallin. (2022). Taming energy and electronic waste generation in bitcoin mining: Insights from Facebook prophet and deep neural network. Technological Forecasting and Social Change. 178. 121584–121584. 32 indexed citations
10.
Jana, Rabin K. & Indranil Ghosh. (2022). A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases. Annals of Operations Research. 345(2-3). 757–778. 25 indexed citations
11.
Ghosh, Indranil, et al.. (2022). New business capacity of developed, developing and least developing economies: inspection through state-of-the-art fuzzy clustering and PSO-GBR frameworks. Benchmarking An International Journal. 30(4). 1424–1454. 6 indexed citations
12.
Ghosh, Indranil, Esteban Alfaro, Matías Gámez, & Noelia García. (2022). Do travel uncertainty and invasion rhetoric spur Metaverse financial asset? – Gauging the role of media influence. Finance research letters. 51. 103434–103434. 14 indexed citations
13.
Jana, Rabin K. & Indranil Ghosh. (2022). Time-varying relationship between geopolitical uncertainty and agricultural investment. Finance research letters. 52. 103521–103521. 8 indexed citations
14.
Ghosh, Indranil & Dragan Pamučar. (2022). Can financial stress be anticipated and explained? Uncovering the hidden pattern using EEMD-LSTM, EEMD-prophet, and XAI methodologies. Complex & Intelligent Systems. 9(4). 4169–4193. 11 indexed citations
15.
Jana, Rabin K., Indranil Ghosh, Debojyoti Das, & Anupam Dutta. (2021). Determinants of electronic waste generation in Bitcoin network: Evidence from the machine learning approach. Technological Forecasting and Social Change. 173. 121101–121101. 25 indexed citations
16.
Jana, Rabin K., Indranil Ghosh, & Debojyoti Das. (2021). A differential evolution-based regression framework for forecasting Bitcoin price. Annals of Operations Research. 306(1-2). 295–320. 48 indexed citations
17.
Jana, Rabin K., Indranil Ghosh, & Manas Kumar Sanyal. (2020). A granular deep learning approach for predicting energy consumption. Applied Soft Computing. 89. 106091–106091. 42 indexed citations
18.
Ghosh, Indranil, Manas Kumar Sanyal, & Rabin K. Jana. (2020). Co-movement and Dynamic Correlation of Financial and Energy Markets: An Integrated Framework of Nonlinear Dynamics, Wavelet Analysis and DCC-GARCH. Computational Economics. 57(2). 503–527. 46 indexed citations
19.
Ghosh, Indranil, Rabin K. Jana, & Manas Kumar Sanyal. (2019). Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms. Applied Soft Computing. 82. 105553–105553. 45 indexed citations
20.
Biswas, Bivas, Sandip Ganguly, Indranil Ghosh, et al.. (2016). High incidence of early metabolic syndrome in germ cell tumor: Report from a tertiary cancer center in India.. Journal of Clinical Oncology. 34(2_suppl). 488–488. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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